Program Duration: Full-Time: 2 years | Part-Time: 3 years
Online Course Options: Yes, partial
ADDITIONAL GRADUATE PROGRAMS
Attend Our Information Session: October 17, 2022
Join us for an Information Session for our Criminal Justice Data Analytics Program. You will have an opportunity to meet with the Director of the Program and the Graduate Admissions Recruiter as we discuss program highlights, curriculum and the application process. There will be plenty of time for Q & A, so have your questions ready.
The Information Session will be held on Monday October 17, at 6:00pm CST. Please RSVP at the link below. We look forward to seeing you there!
Evidence-based decision-making that is informed by consideration of data is a key feature of the modern criminal justice system. This program will prepare students to become data analysts who are able to consider the full range of ethical and social implications of these decisions.
This program offers a unique perspective with its focus on ethical considerations of managing and analyzing large data sets to make evidence-driven decisions in the field of criminal justice. This program is timely because debates about how, when and whether to use predictive models and algorithms for criminal justice decisions have not been resolved. Possessing an understanding of the ethical and social implications of these debates will better prepare Marquette University-trained data analysts to engage in these debates and questions while working in the field.
The master's in criminal justice data analytics is offered with flexible options, so that you can complete the courses in a way that best fits your life. Full-time and part-time options are available, and some courses are offered online. Undergraduate students have an opportunity to enter into our Accelerated Degree Program during their junior year and earn their bachelor's and master's degree in a total of five years.
Years to Complete*
Part-time, Online Options**
*Full-time completed in 2 years. Part-time completed in 3 years. **Hybrid program with online and on-campus courses.
Additional Program Highlights
The 30-credit interdisciplinary program is designed to use Marquette University’s faculty expertise in the criminology and law studies and data science programs. This union has resulted in an innovative and pioneering interdisciplinary graduate program that prepares graduates to be successful and impactful as criminal justice data analysts.
Students have access to a number of proprietary resources and tools including the top geo-spatial analysis and mapping software, ArcGIS, the most current STATA and SPSS statistical packages, and data from the Marquette Law School Poll.
Students immersed in this program will have consistent interaction with and learn from criminology and law studies and data science faculty. Select the disciplines below to learn more about the interdisciplinary faculty behind this exciting new graduate program.
The master of science in criminal justice data analytics program will inform planning, decision-making and problem-solving in criminal justice agencies, including police departments, departments of corrections, courts and district attorneys’ offices, as well as in nonprofit agencies whose interests revolve around public safety.
Ready to learn more about Marquette's Master's in Criminal Justice Data Analytics?
This program has rolling admission, which means you may apply any time before the following dates:
Your application must be complete and all required documentation must be received in the Graduate School by the above date.
1Upon admission, final official transcripts from all previously attended colleges/universities, with certified English translations if original language is not in English, must be submitted to the Graduate School within the first five weeks of the term of admission or a hold preventing registration for future terms will be placed on the student's record.
Students immersed in this program will have access and consistent interaction with faculty from both criminal law and data science departments. Select the disciplines below to learn more about the interdisciplinary faculty behind this exciting graduate program.